FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery
Antibiotic resistance continues to be a growing concern for global health, accentuating the
need for novel antibiotic discoveries. Traditional methodologies in this field have relied …
need for novel antibiotic discoveries. Traditional methodologies in this field have relied …
Deep learning tools to accelerate antibiotic discovery
Introduction As machine learning (ML) and artificial intelligence (AI) expand to many
segments of our society, they are increasingly being used for drug discovery. Recent deep …
segments of our society, they are increasingly being used for drug discovery. Recent deep …
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
Background The spread of antibiotic resistance has become one of the most urgent threats
to global health, which is estimated to cause 700,000 deaths each year globally. Its …
to global health, which is estimated to cause 700,000 deaths each year globally. Its …
Deep learning and antibiotic resistance
Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render
useless all known antibiotics in the fight against bacterial infections. Although bacterial …
useless all known antibiotics in the fight against bacterial infections. Although bacterial …
[PDF][PDF] Deep Learning and Antibiotic Resistance. Antibiotics 2022, 11, 1674
SL Popa, C Pop, MO Dita, VD Brata, R Bolchis… - 2022 - academia.edu
Antibiotic resistance (AR) is a naturally occurring phenomenon with the capacity to render
useless all known antibiotics in the fight against bacterial infections. Although bacterial …
useless all known antibiotics in the fight against bacterial infections. Although bacterial …
AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens
Background Antibiotic resistance is a growing global health concern prompting researchers
to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting …
to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting …
A brief guide to machine learning for antibiotic discovery
Highlights•Rising antibiotic resistance requires novel approaches to antibiotic
discovery.•Machine learning methods can accelerate the antibiotic discovery …
discovery.•Machine learning methods can accelerate the antibiotic discovery …
[HTML][HTML] A deep learning approach to antibiotic discovery
Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to
discover new antibiotics. To address this challenge, we trained a deep neural network …
discover new antibiotics. To address this challenge, we trained a deep neural network …
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays
multidrug resistance. Discovering new antibiotics against A. baumannii has proven …
multidrug resistance. Discovering new antibiotics against A. baumannii has proven …
Multi-scale temporal convolutional networks and continual learning based in silico discovery of alternative antibiotics to combat multi-drug resistance
The high incidence of diseases caused by multi-drug resistant (MDR) pathogens combined
with the shortage of effective antibiotics has necessitated the development of in-silico …
with the shortage of effective antibiotics has necessitated the development of in-silico …